Factors Influencing Users’ Satisfaction Towards Image Use in Social Media: A PLS-SEM Analysis
Dublin Core
Title
Factors Influencing Users’ Satisfaction Towards Image Use in Social Media: A PLS-SEM Analysis
Subject
Uses and Gratification Theory
Satisfaction
Image use
social media
Description
Images for social media are an essential component of any blog or social media post. As we now live in the age of the 'camera in everyone's pocket', a new dynamic era of image creation and content has emerged. However, people use media due to specific motives or gratifications that lead to their satisfaction of social media use. This research study utilized uses and gratification theory (UGT), a sociology theory related to the motives of people using the media. The UGT factors include enjoyment, entertainment, social influence, social interaction, and information sharing. There were 441 data that were collected and analysed. IBM SPSS Statistics 20 and Smart PLS 3.3.3 were used for the data analysis. Result showed that information sharing was the most influencing factors on users’ satisfaction to use image in social media. Therefore, the factors identified in these studies could be used as a guideline and references in future study related to social media awareness and implications.
Creator
Che Ilias, Irma Syarlina
Ramli, Suzaimah
Wook, Muslihah
Hasbullah, Nor Asiakin
Source
International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 15 (2022); pp. 172-186
1865-7923
Publisher
International Association of Online Engineering (IAOE), Vienna, Austria
Date
2022-08-17
Rights
Copyright (c) 2022 Irma Syarlina Che Ilias, Suzaimah Ramli, Muslihah Wook, Nor Asiakin Hasbullah
https://creativecommons.org/licenses/by/4.0
Relation
Format
application/pdf
Language
eng
Type
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
Identifier
Citation
Che Ilias, Irma Syarlina et al., Factors Influencing Users’ Satisfaction Towards Image Use in Social Media: A PLS-SEM Analysis, International Association of Online Engineering (IAOE), Vienna, Austria, 2022, accessed November 22, 2024, https://igi.indrastra.com/items/show/2349